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Untitled - Laboratory of Neurophysics and Physiology

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Morten Kringelbach, Oxford<br />

Maxime Guye, Marseille<br />

Michael Breakspear, Brisbane<br />

Gustavo Deco, Barcelona<br />

W20<br />

Validating neuro-computational models <strong>of</strong> neurological <strong>and</strong> psychiatric disorders<br />

Space Curie, Thu, 9:00-17:30<br />

Basabdatta Sen Bhattacharya, University <strong>of</strong> Lincoln, Lincoln, UK<br />

Fahmida Chowdhury, NSF, Arlington, VA, USA<br />

Recent years have seen a widespread interest in applying computational models to underpin the<br />

neural correlates in neurological <strong>and</strong> psychiatric disorders, which is essential for drug discovery, disease<br />

prediction <strong>and</strong> better diagnostics. Neuro-computational models are abstractions <strong>of</strong> highly complex<br />

biological circuitry <strong>and</strong>/or phenomena at a level appropriate to the modeller’s target ’problem’. An<br />

essential condition for models simulating real world phenomena to be ’usable’ is to validate them<br />

in order to avoid erroneous underst<strong>and</strong>ing <strong>and</strong> potentially conflicting predictions. In other words, a<br />

model can be deemed useful as a tool to aid the underst<strong>and</strong>ing <strong>and</strong> treatment <strong>of</strong> disease conditions<br />

only if it is validated with experimental data. Currently, there is a rich repertoire <strong>of</strong> computational<br />

models, mimicking the functionalities <strong>and</strong> behaviour <strong>of</strong> various brain parts. However, the immense<br />

diversity in modelling <strong>and</strong> validation approaches across the globe makes it difficult to compare results,<br />

even for similar brain functionality. In addition, validation techniques as well as the experimental data<br />

used for validation are not ’homogeneous’. Moreover, being a multidisciplinary field, a structured <strong>and</strong><br />

co-ordinated approach to benchmark <strong>and</strong>/or set st<strong>and</strong>ards for validation methods <strong>and</strong> techniques is<br />

yet to be initiated. The aim <strong>of</strong> this workshop is to bring together Engineers <strong>and</strong> Scientists who work<br />

on modelling brain behaviour to discuss<br />

• Potential methods <strong>of</strong> meaningful validation <strong>of</strong> neuro-computational models with experimental<br />

data.<br />

• Ways <strong>of</strong> benchmarking validation <strong>of</strong> different modelling approaches towards a given goal (e.g.<br />

modelling anomalies in EEG), so that different models may be compared in meaningful ways.<br />

• Potential new collaborations <strong>and</strong> leverage existing ones to advance the field.<br />

The expected outcome is a report or white paper written by the group (including the speakers <strong>and</strong><br />

any interested persons from the audience) to present their findings <strong>and</strong> a few action items.<br />

Speakers:<br />

Dr. Piotr Suffczynski, Associate Pr<strong>of</strong>essor, University <strong>of</strong> Warsaw, Pol<strong>and</strong><br />

Dr. Romain Brette, Associate Pr<strong>of</strong>essor, Ecole Normale Superieure, Paris, France<br />

Dr. Claudio Babiloni, Associate Pr<strong>of</strong>essor, University <strong>of</strong> Rome "La Sapienza", Rome, Italy<br />

Pr<strong>of</strong>. Ingo Bojak, University <strong>of</strong> Reading, UK<br />

Dr. Rosalyn Moran, Assistant Pr<strong>of</strong>essor, Virginia Tech Carilion Research Institute, USA<br />

Dr. Dimitrios Pinotsis, UCL, UK<br />

Dr. Udo Ernst, Institute for Theoretical Physics, University <strong>of</strong> Bremen, Germany<br />

96

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